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of scientific concepts, and not only on statistics anymore. As a consortium of 12 partners, from 5 European countries, experts in artifical intelligence, scientific and clinical research, we have come together
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. Unsupervised machine learning approaches will be used to identifiy key dimensions of circadian rhythm associated with dementia subtypes. This requires a very good level in statistics and R programing as
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Requirements Proficiency in intermediate statistical analysis methods (e.g., regressions) and, if possible, advanced methods(e.g., hierarchical models, GLM, etc.). Proficiency in at least one statistical
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, integrating statistical inference, machine learning, and population genetics. We will develop advanced computational methods to characterize the functioning of T- and B-cell repertoires. The goal is to build
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, statistical analysis and visualization of genomic and phenotypic data. * Interpretation of experimental and bioinformatic results in the context of bacterial adaptation to stress. * Contribution
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approaches for machine learning. Research interests span representation learning, statistical inference, trustworthy machine learning and generative models. DATA is hosted at the interdisciplinary Centre de
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French National Institute for Health Research (INSERM) | Paris 15, le de France | France | 2 months ago
Tools in Epidemiology Applied to Maternal and Child Health, Introduction to Statistical Approaches for Longitudinal Data Analysis (10 hours) - Develop teaching modules related to the research theme
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/ live-cell imaging - Biological image analysis - Cell tracking - Cell culture - Quantification of biological data - Fiji / ImageJ · Statistical analysis 3. Desirable Skills - Centrosome dynamics
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reconstruction - Formatting of results and statistical analyses - Follow-up of literature and improvement/adaptation of techniques and analyses according to research projects - Participation in team and institute
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. These complementary datasets will be integrated using multivariate statistics and machine learning to identify microbial and chemical biomarkers of resilience and to reveal the interactions linking microbiome